Abstract
With the continuous development of contemporary social economy, the Internet is widely used in various industries, which provides a strong basis for all walks of life in the new era. At the same time, the field of education industry has also received great attention, the most important of which is the art education industry. In the field of fine arts, art teachers need to give up the traditional art teaching mode taught in the past. As a relatively basic industry of education industry, art education major will meet the new development under the situation of big data information and data. For example, the creation of fine arts focuses on the public aesthetic and observation objects; more unique and independent artistic creation concepts such as projection, photography and copying need to be re-created; The improvement of the teaching mode of traditional historical concept makes the new art form and the field of information data mode integrate, and then shows the advantages of information-based data art education, which lays a good foundation for the cultivation of high-quality talents in China’s art education. In the era of big data information technology, we can find the method suitable for the current art education field, change the original traditional teaching mode, open up a new road for the art education industry, and make great progress in the field of art education. This paper gives some suggestions to the art education industry in the information age, and explores the relationship between the information age and art education from the two aspects of the characteristics of the art education field in the information age.
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Acknowledgements
Jilin Province Educational Science “Thirteenth Five-Year Plan” Key Project in 2019 “Research on the Development of National Education Modernization under the Guidance of Conceptual Modernization” Project Approval Number: ZD19150.
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Sun, H. (2021). Research on the Innovation and Reform of Art Education and Teaching in the Era of Big Data. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_100
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DOI: https://doi.org/10.1007/978-3-030-69999-4_100
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